LAUSR

Abstract Due to several applications in applied statistics, there is an increasing attention to the coefficient of variation (CV) in quality control. In this paper, we propose investigating the effect of measurement errors on the performance of one-sided cumulative sum (CUSUM) control charts monitoring the CV. According to the simulated results, the precision and accuracy errors have considerable influence on the performance of the CUSUM control charts. It is also shown that increasing the number of times measuring an item in the linear covariate error model insignificantly improves the proposed chart performance.